Average Handle Time
Average Handle Time (AHT) is the total time an agent spends on a customer ticket, from the moment they pick it up to the moment they mark it resolved. It includes talk time, hold time, and any after-call work like notes or follow-up tasks. It is the most common metric for measuring agent efficiency, and it tells you how long each customer interaction takes from start to finish.
Formula: (Total talk time + Total hold time + Total after-call work) / Total number of tickets
How is average handle time calculated?
Most support platforms calculate it for you, but the formula breaks into three parts:
| Component | What it includes |
|---|---|
| Talk time | The minutes or seconds the agent actively speaks with or messages the customer |
| Hold time | Time the customer waits while the agent researches, consults a colleague, or looks up an answer |
| After-call work | Time spent writing notes, tagging the ticket, updating records, or sending follow-up messages after the conversation ends |
Add those three for every ticket, then divide by the number of tickets. That gives you the average.
Why does average handle time matter?
AHT is a window into how efficiently your team operates. A lower AHT means agents can help more customers in a shift, which reduces cost per ticket and shortens the queue. But pushing AHT too low can backfire: if agents rush to hit a number, quality drops and customers leave unhappy. The healthiest path is to reduce AHT by removing friction, not by cutting corners. That means better knowledge bases, clearer internal processes, and self-service that keeps simple questions out of the queue. AHT is one piece of good customer support metrics.
Related terms
- CX glossary: browse all customer experience terms.
- First Response Time: how long customers wait for the first reply.
- Average Resolution Time: total time from ticket open to close.
Frequently asked questions
What is a good average handle time?
It depends on your industry and ticket complexity. Simple ecommerce inquiries might average two to five minutes, while technical SaaS support can run fifteen to thirty minutes. The best benchmark is your own trend: if AHT rises while quality holds, that may signal process friction or tool gaps.
How is average handle time calculated?
Add total talk time, hold time, and after-call work, then divide by the number of tickets. The formula is (Talk time + Hold time + After-call work) / Total tickets. Most support platforms calculate it automatically.
Should you try to reduce average handle time?
Only if you can do it without sacrificing quality. Lowering AHT by rushing agents harms customer satisfaction. The smarter path is to reduce it by giving agents better tools, clearer processes, and self-service options that answer simple questions before they become tickets.
See it work
Helpfeel reduces average handle time naturally. When customers find answers on their own, simple tickets never reach your team. When agents do need to step in, a tuned knowledge base puts the right answer in their hands faster. See how the done-for-you model works.